Introduction - If you have any usage issues, please Google them yourself
Cover the whole iris recognition pre-processing part is divided into multiple function part, that is, a simple image enhancement, Canny operator edge extraction, Hough transform internal and external circular positioning border style, and finally normalized Circle exhibition will be rectangular. Fringe images and made a few interface procedures, is not very perfect, but the overall pre-processing tasks have been better to complete, if further improve performance, first Hough transform can be replaced by least squares fitting algorithm.
Packet : 39709558eyedemo.rar filelist
eyedemo\007.jpg
eyedemo\008.jpg
eyedemo\eyedemo.asv
eyedemo\eyedemo.m
eyedemo\Thumbs.db
eyedemo\totalprocess.m
eyedemo\normalise.m
eyedemo\segment.m
eyedemo\Segmentation\addcircle.m
eyedemo\Segmentation\adjgamma.m
eyedemo\Segmentation\canny.m
eyedemo\Segmentation\circlecoords.m
eyedemo\Segmentation\findcircle.m
eyedemo\Segmentation\findline.m
eyedemo\Segmentation\houghcircle.m
eyedemo\Segmentation\hysthresh.m
eyedemo\Segmentation\linecoords.m
eyedemo\Segmentation\nonmaxsup.m
eyedemo\Segmentation\segmentiris.m
eyedemo\Segmentation\segmentiris.asv
eyedemo\Segmentation\findcircle.asv
eyedemo\Segmentation\canny.asv
eyedemo\Segmentation\adjgamma.asv
eyedemo\Segmentation\nonmaxsup.asv
eyedemo\Segmentation\hysthresh.asv
eyedemo\Segmentation\houghcircle.asv
eyedemo\Segmentation\addcircle.asv
eyedemo\Segmentation\circlecoords.asv
eyedemo\Segmentation
eyedemo\normaliseiris.m
eyedemo\使用说明.txt
eyedemo\001.JPG
eyedemo\002.JPG
eyedemo\003.JPG
eyedemo\004.JPG
eyedemo\005.JPG
eyedemo